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Anatomical District Recognition in CT Bio-images

机译:CT生物图像中的解剖区识别

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Use of X-ray radiations in bio-medical imaging, including computerized tomography (CT) examinations, may trigger biological effects to be taken in the proper account. In order to do that, the pure amount of radiations absorbed by the patient may not suffice, as the same quantity of radiations may trigger different biological effects according to the type of tissue actually irradiated. Despite most standards for bio-images include the storage of alpha-numerical tags (as the DICOM format does), the description of the anatomical district covered by the image may sometimes be incomplete, missing, or even erroneous. Anatomical District Recognition (ADR) aims at properly identifying the anatomical district depicted by an X-ray bio-image, without requiring any additional information but the image itself. By this paper, we propose a novel approach which reads the scout image of a CT examination and identifies the involved anatomical district(s), so that proper evaluations, including dose estimation, can then be performed.
机译:使用X射线辐射在生物医学成像中,包括计算机断层扫描(CT)考试,可能会在适当的账户中触发生物效应。为了做到这一点,患者吸收的纯净的辐射可能不足以足够,因为相同量的辐射可以根据实际照射的组织的类型触发不同的生物学效果。尽管大多数生物图像标准包括α-数值标准(作为DICOM格式),但是图像覆盖的解剖区的描述有时可能是不完整的,丢失甚至错误的。解剖区识别(ADR)旨在适当地识别由X射线生物图像所描绘的解剖区,而无需任何其他信息,而不需要图像本身。具体而言,我们提出了一种新的方法,该方法读取CT检查的侦察图像并识别所涉及的解剖区,从而可以进行适当的评估,包括剂量估计。

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